Primality and Identity Testing via Chinese Remaindering

  • Authors:
  • Manindra Agrawal;Somenath Biswas

  • Affiliations:
  • -;-

  • Venue:
  • FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
  • Year:
  • 1999

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Abstract

We give a simple and new primality testing algorithm by reducing primality testing for number n to testing if a specific univariate identity over Zn holds.We also give new randomized algorithms for testing if a multivariate polynomial, over a finite field or over rationals, is identically zero. The first of these algorithms also works over Zn for any n. The running time of the algorithms is polynomial in the size of arithmetic circuit representing the input polynomial and the error parameter. These algorithms use fewer random bits and work for a larger class of polynomials than all the previously known methods, e.g., the Schwartz-Zippel test, Chen-Kao and Lewin-Vadhan tests.Our algorithms first transform the input polynomial to a univariate polynomial and then use Chinese remaindering over univariate polynomials to efficiently test if it is zero.